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System Properties Comparison Pinecone vs. XTDB

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Editorial information provided by DB-Engines

Name

Description

A managed, cloud-native vector database

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Vector DBMS

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	3.57
Rank	#74	Overall
	#6	Vector DBMS

Score	0.20
Rank	#314	Overall
	#46	Document stores

Website

www.pinecone.io

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

docs.pinecone.io/docs/overview

www.xtdb.com/docs

Developer

Pinecone Systems, Inc

Juxt Ltd.

Initial release

2019

Current release

1.19, September 2021

License

Commercial or Open Source

commercial

Open Source

MIT License

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Clojure

Server operating systems

hosted

All OS with a Java 8 (and higher) VM
Linux

Data scheme

schema-free

Typing

predefined data types such as float or date

String, Number, Boolean

yes, extensible-data-notation format

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

limited SQL, making use of Apache Calcite

APIs and other access methods

RESTful HTTP API

HTTP REST
JDBC

Supported programming languages

Python

Clojure
Java

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

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More resources

DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

Pinecone turns unstructured data into knowledgeable AI for developers with Microsoft Azure
4 February 2025, Microsoft

Pinecone expands vector database with cascading retrieval, boosting enterprise AI accuracy by up to 48%
2 December 2024, VentureBeat

Pinecone integrates AI inferencing with vector database
2 December 2024, Blocks and Files

Pinecone Named to Fast Company's Annual List of the World's Most Innovative Companies of 2025
18 March 2025, PR Newswire

Pinecone Revamps Retrieval Capabilities for Its Vector Database Platform
2 December 2024, The New Stack

provided by Google News

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